suitable languages for a semantic web project
Currently I am thinking and searching for the adequate programming languages for a project
(more than one programming language will be used).
Is there a big mistake presented in my list (other than my belief of go as a suitable language)?
Any tipps before I start?
opensource project with semantic web (including rdf/owl, topicmaps), web applications and services, machine learning.
working version by late August 2011
mathematics/logic and speed is important, as well as fast network transfer
data will be up to 64GB
1) open source languages only
my beliefs (which are subjective but will probably/quite certainly not change):
1) go is a good programming language at the moment/future. this is my belief and 'bet' at the moment.
Programming Languages in this precedence:
A1) go (golang.org)
reasons: my belief, should be fast in the future (now execution time ist about twice as long as a java programm)
fast growing community. hopefully improves in the next 12 months.
used as a general programming language and for web related stuff.
(I want to get away from the java virtual machine, partly because of my beliefs partly because of my privious experience)
resons: there are many important programs and libraries available, e.g. Jena, Pellet, XML Calabash, etc.
go is given a strong precedance, but second choice is java.
reason: if haskell is not too slow and a functional approach is a good choice, haskell is chosen.
I think go and haskell together is a better option than erlang or other functional programming languages.
(this may present a believe)
reason: for problems where mathematics and statistic count, e.g. maschine learning.
there are very good packages available for this in R.
R is partly more a collection of packages than a programming language.
B1) C / C++
reason: if for some subsystem written in go/java/haskell/R is to slow, C and C++ are considered.
reason: I think in a lot of situations, haskell is a better option, but prolog is supposed to be faster in some cases
and also a good option. there is are many libraries available for prolog.
reason: I think go and the rest of the mentioned languages are a better option.
could be used for some natural language processing.
good for cms integration, e.g. drupal
is very suitable where R has limits. but it's not open source and many researchers back R.
I am not familiar with Ruby therefore it is not included, some of my friends swear on it.
Not considers because of the requirement to use open source languages:
C#, F#, etc.
some PAPERS and LINKS, that could be interesting:
(if you search for the title with quotes you can find the coresponding paper)
Three papers are possibly interesting: Topic Maps Graph Visualization & Suggested GTM (it's use to transfrom a natural question to an answer), A new approach to semantic integration, Defining Domain-Specific Facets for Topic Maps with TMQL Path Expressions. At least those papers are free to download ;-)